{"id":77424,"date":"2026-01-13T11:32:54","date_gmt":"2026-01-13T10:32:54","guid":{"rendered":"https:\/\/fhi.nl\/?page_id=77424"},"modified":"2026-01-13T11:46:26","modified_gmt":"2026-01-13T10:46:26","slug":"rf-spectrum-awareness-the-symbiosis-of-iq-streaming-spectrum-analyzer-ai","status":"publish","type":"page","link":"https:\/\/fhi.nl\/en\/rf-spectrum-awareness-the-symbiosis-of-iq-streaming-spectrum-analyzer-ai\/","title":{"rendered":"RF Spectrum Awareness- The symbiosis of IQ streaming Spectrum Analyzer &amp; AI"},"content":{"rendered":"<header id=\"header\" class=\"header header--low\">\n\n\t\n\t\t\t<div class=\"header__background header__background--graphic\"><\/div>\n\t\n\t<div class=\"container\">\n\t\t<div class=\"header__content\">\n\t\t\t<div class=\"header__first\">\n\n\t\t\t\t\n\t\t\t\t\t\t\t\t\t<div class=\"header__navigation-button\">\n\t\t\t\t\t\t<a class=\"header__navigation-button__arrow\" target=\"_self\" href=\"https:\/\/fhi.nl\/en\/rftechnologydays\/programma\/\">\n\t\t\t\t\t\t\t<svg width=\"56\" height=\"33\" viewbox=\"0 0 56 33\" fill=\"none\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><rect x=\"56\" y=\"33\" width=\"56\" height=\"33\" rx=\"16.5\" transform=\"rotate(180 56 33)\" fill=\"#2A5CEE\"\/><path d=\"M22.262 22.456 16.294 16.5l5.968-5.956M39.706 16.5H16.293\" stroke=\"#fff\" stroke-width=\"2\" stroke-linecap=\"round\"\/><\/svg> Back to the program\t\t\t\t\t\t<\/a>\n\t\t\t\t\t<\/div>\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t<h1 class=\"header__title\" >\n\t\t\t\t\tRF Spectrum Awareness- The symbiosis of IQ streaming Spectrum Analyzer &amp; AI\t\t\t\t<\/h1>\n\n\t\t\t\t<div class=\"header__dots-line\">\n\t\t\t\t\t<svg width=\"431\" height=\"9\" viewbox=\"0 0 431 9\" fill=\"none\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M430.799 4.192a1.136 1.136 0 1 1-2.272-.001 1.136 1.136 0 0 1 2.272 0Zm-27.272 0a1.135 1.135 0 1 1-2.27 0 1.135 1.135 0 0 1 2.27 0Zm-27.27 0a1.136 1.136 0 1 1-2.272-.001 1.136 1.136 0 0 1 2.272 0Zm-27.272 0a1.39 1.39 0 1 1-2.78 0 1.39 1.39 0 0 1 2.78 0Zm-27.78 0a1.645 1.645 0 1 1-3.29 0 1.645 1.645 0 0 1 3.29 0Zm-28.29 0a1.9 1.9 0 1 1-3.799 0 1.9 1.9 0 0 1 3.799 0Zm-28.799 0a2.154 2.154 0 1 1-4.308 0 2.154 2.154 0 0 1 4.308 0Zm-29.308 0a2.41 2.41 0 1 1-4.819 0 2.41 2.41 0 0 1 4.819 0Zm-29.819 0a2.663 2.663 0 1 1-5.326.001 2.663 2.663 0 0 1 5.326-.001Zm-30.327 0a2.919 2.919 0 1 1-5.837 0 2.919 2.919 0 0 1 5.837 0Zm-30.837 0a3.173 3.173 0 1 1-6.345.001 3.173 3.173 0 0 1 6.345 0Zm-31.346 0a3.428 3.428 0 1 1-6.856 0 3.428 3.428 0 0 1 6.856 0Zm-31.856 0a3.683 3.683 0 1 1-7.365 0 3.683 3.683 0 0 1 7.365 0Zm-32.365 0a3.937 3.937 0 1 1-7.875 0 3.937 3.937 0 0 1 7.875 0Zm-32.874 0a4.192 4.192 0 1 1-8.384 0 4.192 4.192 0 0 1 8.384 0Z\" fill=\"#FFF960\"\/><\/svg>\t\t\t\t<\/div>\n\n\t\t\t\t\n\t\t\t\t\n\t\t\t<\/div>\n\n\t\t\t\t\t\t\t<div class=\"header__second\">\n\n\t\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t<div class=\"header__branch-logos\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t<\/div>\n\t\t\t\n\t\t<\/div>\n\t<\/div>\n<\/header>\n\n\n\n\n<div class=\"image-text bg--offwhite\">\n\t<div class=\"container\">\n\t\t<div class=\"image-text__wrapper image-text__wrapper--reverse\">\n\t\t\t<div class=\"image-text-image image-text-image--default\">\n\t\t\t\t\t\t\t\t\t<svg width=\"551\" height=\"326\" viewbox=\"0 0 551 326\" fill=\"none\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M539.801 241.758a5.29 5.29 0 0 1 5.29-5.286 5.29 5.29 0 0 1 5.29 5.286 5.29 5.29 0 0 1-5.29 5.287 5.29 5.29 0 0 1-5.29-5.287Zm-38.199-.002a4.968 4.968 0 0 1 4.968-4.965 4.968 4.968 0 0 1 4.969 4.965 4.968 4.968 0 0 1-9.937 0Zm-38.204.001a4.647 4.647 0 0 1 9.295 0 4.647 4.647 0 0 1-9.295 0Zm-38.199.001a4.326 4.326 0 0 1 8.652 0 4.326 4.326 0 0 1-8.652 0Zm-38.183-.004a4.004 4.004 0 0 1 8.009 0 4.005 4.005 0 0 1-8.009 0Zm-38.2.006a3.683 3.683 0 0 1 7.366 0 3.682 3.682 0 0 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1.754 0 1 1 3.509.003 1.754 1.754 0 0 1-3.509-.003Zm38.848-.001a1.433 1.433 0 1 1 2.867.003 1.433 1.433 0 0 1-2.867-.003ZM0 84.037a5.29 5.29 0 0 1 5.29-5.287 5.29 5.29 0 0 1 5.29 5.287 5.29 5.29 0 0 1-5.29 5.286A5.29 5.29 0 0 1 0 84.037Zm38.848 0a4.968 4.968 0 0 1 9.937 0 4.968 4.968 0 0 1-4.969 4.966 4.968 4.968 0 0 1-4.968-4.966Zm38.828-.002a4.647 4.647 0 0 1 9.294 0 4.647 4.647 0 0 1-9.294 0Zm38.836.001a4.326 4.326 0 0 1 8.652 0 4.326 4.326 0 0 1-8.652 0Zm38.843-.001a4.005 4.005 0 0 1 8.009 0 4.004 4.004 0 0 1-8.009 0Zm38.856 0a3.682 3.682 0 0 1 7.366 0 3.682 3.682 0 0 1-7.366 0Zm38.832.001a3.361 3.361 0 0 1 6.723 0 3.361 3.361 0 0 1-6.723 0Zm38.844.001a3.04 3.04 0 0 1 6.08 0 3.04 3.04 0 0 1-6.08 0Zm38.84.001a2.718 2.718 0 1 1 5.436.002 2.718 2.718 0 0 1-5.436-.002Zm38.847-.002a2.397 2.397 0 0 1 4.795 0 2.397 2.397 0 0 1-4.795 0Zm38.832-.001a2.076 2.076 0 1 1 4.151.002 2.076 2.076 0 0 1-4.151-.002Zm38.832 0a1.754 1.754 0 1 1 3.509.002 1.754 1.754 0 0 1-3.509-.002Zm38.848-.001a1.433 1.433 0 1 1 2.866.001 1.433 1.433 0 0 1-2.866-.001Z\" fill=\"#2A5CEE\"\/><\/svg>\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t<div class=\"image-text-content\">\n\t\t\t\t\t\t\t\t\t<div class='heading-wrapper'><svg width=\"13\" height=\"13\" viewbox=\"0 0 13 13\" fill=\"none\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><circle cx=\"6.394\" cy=\"6.5\" r=\"6.394\" fill=\"#000\"\/><\/svg><h2 class='image-text-content__title'>10:30 \u2013 10:55 &amp; 13:00 \u2013 13:25<\/h2><\/div>\t\t\t\t\n\t\t\t\t\t\t\t\t\t<div class=\"image-text-content__text\"><p>In an increasingly congested and dynamic radio frequency environment, traditional spectrum monitoring methods are no longer sufficient to detect, classify, and respond to complex signal activity in real time. This presentation explores a new paradigm in RF spectrum awareness enabled by the combination of continuous IQ streaming spectrum analyzers and modern artificial intelligence techniques.<\/p>\n<p>We discuss how high fidelity IQ data\u2014captured without gaps and at bandwidths previously impractical to analyze\u2014forms the foundation for AI driven insights. By applying machine learning models to this raw stream, systems can automatically identify signal patterns, detect anomalies, characterize modulation schemes, and predict emerging interference before it impacts operations. The result is a system that not only observes the spectrum but understands it.<\/p>\n<p>Through practical examples based on Anritsu MS27201A aka Y9827A, we illustrate how the symbiosis of advanced RF instrumentation and AI algorithms transform tasks such as interference hunting, spectrum compliance monitoring, and dynamic waveform classification. Attendees will gain a clear understanding of how to integrate IQ streaming hardware with AI pipelines, the architectural considerations involved, and the opportunities this opens for next generation spectrum intelligence.<\/p>\n<p>This session is designed for RF engineers, data scientists, and system architects seeking to elevate spectrum monitoring from reactive measurement to proactive, intelligent awareness.<\/p>\n<p>Remark: In parallel to the presentation, Anritsu will run two different AI based spectrum awareness systems on their show booth.<\/p>\n<p><em>Ferdinand Gerhardes \u2013 Anritsu EMEA on behalf of Electrometric<\/em><\/p>\n<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t<\/div>\n<\/div>","protected":false},"excerpt":{"rendered":"","protected":false},"author":56,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"footnotes":""},"branches":[],"events":[370],"secretariat":[],"categories":[],"themes_tax":[],"class_list":["post-77424","page","type-page","status-publish","hentry"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v26.8 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>RF Spectrum Awareness- The symbiosis of IQ streaming Spectrum Analyzer &amp; 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